Clinical Report: Nomogram for Postoperative Sleep Issues in Oral Cancer Patients
Overview
This study developed and validated a nomogram to predict postoperative sleep disturbances in oral cancer patients. Key predictors included alcohol consumption, surgical duration, anxiety levels, and social support.
Background
Postoperative sleep disturbances (PSD) significantly affect recovery and quality of life in oral cancer patients. With a high incidence of sleep issues in this population, understanding risk factors is crucial for improving patient outcomes. Current literature lacks validated predictive models specifically for oral cancer, highlighting the need for targeted interventions.
Data Highlights
Group
Incidence of PSD
AUC
MAE
Training Set
39.41%
0.902
0.0559
Validation Set
39.66%
0.967
0.0942
Key Findings
39.41% of patients in the training set experienced PSD.
Independent predictors of PSD included alcohol consumption, longer surgical duration, higher anxiety scores, and lower social support.
The nomogram demonstrated excellent discrimination with AUCs of 0.902 and 0.967 for training and validation sets, respectively.
Calibration curves indicated strong agreement between predicted and observed outcomes.
Decision curve analysis confirmed the model's clinical utility within a threshold probability range of 0.0-0.4.
Clinical Implications
Healthcare providers should consider the identified risk factors when assessing oral cancer patients for postoperative care. Implementing targeted interventions for those at higher risk may improve sleep quality and overall recovery.
Conclusion
The developed nomogram provides a valuable tool for predicting postoperative sleep disturbances in oral cancer patients, facilitating early identification and intervention strategies.
